Companies shifted from AI experiments to production in 2026

The 2026 State of AI in the Enterprise report by Deloitte highlights a major transition as businesses move AI out of the pilot phase. Companies are increasingly integrating AI into daily workflows like customer service and research, with production projects expected to double in six months.

Most businesses currently pay for AI models on a per-request basis. While this consumption model helps keep costs low during testing, it becomes unpredictable once usage becomes steady and high-volume.

Ownership of infrastructure is becoming a key business decision. By managing their own computing capacity, companies can stabilize costs and avoid the fluctuations of monthly token usage fees.

This shift requires a new approach to management. Success depends on keeping infrastructure busy with diverse workloads rather than letting it sit idle.

"The capital decision is only half the equation," according to the report from HPE. Businesses must also implement governance and continuous adoption strategies to keep their AI investments productive.

Does your team know when to stop paying for individual requests and start owning the infrastructure instead?

This analysis relies on general business strategy data and does not provide specific technical benchmarks. The report notes that economic benefits vary depending on specific model requirements, energy costs, and the unique design of each organization's system.